Aviation electromechanical actuator fault diagnosis method

A fault diagnosis, aviation electromechanical technology, applied in the direction of instruments, measuring electricity, electrical winding testing, etc., can solve the problems of complex fault feature extraction process and large amount of calculation, etc.

Inactive Publication Date: 2016-07-06
NORTHWESTERN POLYTECHNICAL UNIV
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Problems solved by technology

[0008] In order to avoid the deficiencies of the prior art, the present invention proposes a fault diagnosis method for aviation electromechanical actuators based on the symbolic dynamics information entropy theory and the improved parks

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  • Aviation electromechanical actuator fault diagnosis method
  • Aviation electromechanical actuator fault diagnosis method
  • Aviation electromechanical actuator fault diagnosis method

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Embodiment Construction

[0036] Now in conjunction with embodiment, accompanying drawing, the present invention will be further described:

[0037] The embodiment of the present invention is based on the theory of symbolic dynamics information entropy and the fault diagnosis method of aviation electromechanical actuator based on the improved Parks clustering algorithm, and its analysis flow chart is as follows figure 1 As shown, including the sampling of the bus current amplitude signal under normal and various fault conditions, the extraction of the maximum amplitude characteristic attribute, the extraction of the symbol dynamics information entropy characteristic attribute, the establishment of the fault diagnosis characteristic attribute matrix, and finally by calculating the sample to be tested The distance from the feature attribute matrix parks determines the fault type of the sample to be tested.

[0038] Refer to attached figure 2 , The electromechanical actuator consists of a two-way speed-...

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Abstract

The invention relates to an aviation electromechanical actuator fault diagnosis method based on the symbolic dynamic information entropy theory and the improved Parks clustering algorithm. Symbolization processing of amplitude time series of bus current of an inverter side of an electromagnetic actuator can be carried out, and the calculated information entropy value and the calculated maximum amplitude of the bus current time series can be used as the two characteristic quantities of the electromechanical actuator fault diagnosis, and then a standard fault characteristic matrix based on training samples can be established, and then the fault types of the sample to be detected can be determined by calculating the distance between the sample to be detected and the fault characteristic matrix by adopting the improved Parks clustering algorithm. Compared to the conventional methods, the characteristic extraction and fault diagnosis method provided by the invention is advantageous in that the calculation is simple, and the required data size is small, and various electromechanical actuator faults can be effectively identified and diagnosed.

Description

technical field [0001] The invention belongs to a fault diagnosis method for an aviation electromechanical actuator, in particular to a fault diagnosis method for an aviation electromechanical actuator based on a symbolic dynamics information entropy theory and an improved parks clustering algorithm. Background technique [0002] Aero-mechanical actuator (Electro-mechanical actuator, EMA) is composed of brushless DC motor, ball screw and gear reducer. Compared with hydraulic actuators, electromechanical actuators have the characteristics of small size, light weight, and easy maintenance, so they are widely used in the aviation field. The research on fault diagnosis methods of electromechanical actuators is an important task to ensure the safe operation of aviation equipment. [0003] EMA faults include electrical faults and mechanical faults. Common electrical faults are mainly concentrated in the three parts of the motor winding, the motor drive system and the Hall positi...

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Application Information

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IPC IPC(8): G01R31/00G01R31/02G01R31/06G06K9/62
CPCG01R31/00G01R31/72G01R31/50G06F18/232
Inventor 谢蓉李婷曹宇燕王剑王新民
Owner NORTHWESTERN POLYTECHNICAL UNIV
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